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I am Arijit Roy, a backend and machine learning engineer from New Delhi, India. I develop products that are that are driven by data and innovation.


Here is a non-exhaustive list of things I do:

    ✨ Designing and implementing scalable and evolvable microservices architectures
    🔍 Extracting valuable insights from data to guide decision-making
    🌐 Developing recommendation engines for personalized and scalable user experiences
    🧩 Solving classification and clustering problems to uncover patterns at scale
    🧮 Working with computation and data engineering libraries like Pandas, NumPy, PyTorch, OpenCV, etc.
    ☁️ Harnessing the power of cloud technologies such as Cognitive Services, Storage, and AzureML for scalable and robust solutions
    ⚙️ Building robust and evolvable webservers using tools like Django, FastAPI, Celery, Redis, Apache Kafka, etc.
    🚀 Utilizing DevOps tools such as Kubernetes, OpenTelemetry, Docker, Terraform, and more for seamless deployment, monitoring, and infrastructure management.


⚙️ Technologies I Use



Languages
Web Frameworks
Microservices
SQL Databases
NoSQL Databases
Data Engineering
Machine Learning
Cloud Platforms
Tools

🏗️ My Top Open Source Projects


github-readme-stats github-readme-stats github-readme-stats github-readme-stats github-readme-stats github-readme-stats

🏡 Environment


applembp vscode iterm2 tmux

 Recently Listening To

👻 Contact Me

Arijit Roy's Projects

typesense icon typesense

Open Source alternative to Algolia and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

v4 icon v4

Fourth iteration of my personal website built with Gatsby

yfinance icon yfinance

Yahoo! Finance market data downloader (+faster Pandas Datareader)

yolov4-custom-functions icon yolov4-custom-functions

A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.

yolov4-tutorials icon yolov4-tutorials

This video tutorial series shows you how to infer and train your own custom YOLOv4 models, Step-by-step

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